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Explainable AI with Python 1st ed. 2021 edition
Leonida Gianfagna
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Explainable AI with Python 1st ed. 2021 edition
Leonida Gianfagna
Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.
204 pages, 103 Illustrations, color; 16 Illustrations, black and white; VIII, 204 p. 119 illus., 103
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 29, 2021 |
| ISBN13 | 9783030686390 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 202 |
| Dimensions | 235 × 155 × 26 mm · 332 g |
| Language | French |
